Hello, Quarto

<function rtichoke.helpers.sandbox_observable_helpers.create_aj_data_combinations(reference_groups, fixed_time_horizons, stratified_by, by)>

Here is a Python code cell:

preds_aft: type=<class 'pandas.core.series.Series'>, dimensions=1
pred_1_5: type=<class 'pandas.core.series.Series'>, dimensions=1
pred_thin: type=<class 'pandas.core.series.Series'>, dimensions=1
preds_aft
0      1.000000
1      0.526737
2      1.000000
3      1.000000
4      1.000000
         ...   
745    0.999975
746    0.999789
747    0.997182
748    1.000000
749    1.000000
Length: 750, dtype: float64
pred_thin
0      0.988965
1      0.524577
2      0.991665
3      0.994338
4      0.992105
         ...   
745    0.984451
746    0.980313
747    0.967938
748    0.992703
749    0.993183
Length: 750, dtype: float64

viewof time_horizon = Inputs.range(
  [1, 5], 
  {value: 3, step: 2, label: "Time Horizon:"}
)

viewof reference_group = Inputs.radio(
  reference_groups_data, {label: "Reference Group"}, {value: 'thin'}
)

viewof stratified_by = Inputs.radio(
  ["probability_threshold", "ppcr"], {value: "probability_threshold", label: "Stratified By"}
)

viewof censored_assumption = Inputs.radio(
  ["excluded", "adjusted"], {value: "excluded", label: "Censored Assumption"}
)

viewof competing_assumption = Inputs.radio(
  ["excluded", "adjusted_as_negative", "adjusted_as_censored", "reals"], {value: "excluded", label: "Competing Assumption"}
)

filtered = transpose(data).filter(function(subset) {

  return time_horizon == subset.fixed_time_horizon &&
         censored_assumption == subset.censoring_assumption &&
         competing_assumption == subset.competing_assumption &&
         stratified_by === subset.stratified_by && 
         reference_group === subset.reference_group;
})

filtered

Plot.plot({
  marks: [
    Plot.barY(filtered, { 
      x: "strata", 
      y: "reals_estimate", 
      fill: "reals", 
      tip: true 
    })
  ],
  color: {
    domain: ["real_positives", "real_competing", "real_negatives", "real_censored"], 
    range: ["#009e73", "#9DB4C0", "#FAC8CD", "#E3F09B"],
    legend: true
  }
})

	strata
0	(0.99, 1.0]
1	(0.99, 1.0]
2	(0.99, 1.0]
3	(0.99, 1.0]
4	(0.99, 1.0]
...	...
11851	0.57
11852	0.73
11853	0.73
11854	0.73
11855	0.73

11856 rows × 1 columns